The normal entry requirement for the MSc Network Science is the equivalent of a British first or good upper second class honours degree in a subject with substantial mathematics component (e.g.: Mathematics, Statistics, Physics, Economics, Computer Science, Engineering). In addition, the undergraduate modules you have taken must provide sufficient background to enable you to take an appropriate selection of our MSc modules.
Months of entry
Network Science will provide a thorough grounding in the core principles of mathematics and mathematical modelling as applied to networks, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in network and modelling related industries that require such specialist knowledge and skills.
The aim of this programme is to capitalise on the current relevance and impact of network theory locally and nationwide. This is a very active and rapidly evolving research field which stands at the crossroads of graph theory, complex systems and data analysis. It mainly addresses the mathematical description and modelling of the architecture and dynamics of complex systems (systems composed by many interacting units that show collective behaviour).
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), or public health (epidemic spreading models), to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the mathematics applied to the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students whose undergraduate degree is in mathematics or a cognate discipline who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.
Information for international students
Students from outside of the UK help form a global community here at Queen Mary. For detailed country specific entry requirements please visit the International section of our website. If your first language is not English, you must provide evidence of your English language proficiency.
Fees and funding
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Qualification and course duration
Course contact details
- School of Mathematical Sciences
- +44 (0)20 7882 5468